Job Description
Ovii's Interpretation of the Role
Sarvam seeks a Model Product Manager to own the roadmap and delivery of ASR, TTS, and model evaluation pipelines. You will partner with research, engineering, infra and data teams to turn user and business needs into measurable AI model goals.
Role Snapshot
- Own ASR, TTS, and evaluation product roadmaps
- Drive model training, fine‑tuning and release cycles
- Define quality metrics and evaluation frameworks
- Run experiments (offline, A/B, human eval) to measure improvements
- Ensure scalable deployment and monitoring
- Translate user/business needs into model goals
- Communicate priorities and trade‑offs across stakeholders
Must-Have Requirements
- Analytical skills
- Data‑driven decision making
- Familiarity with model lifecycle (training, fine‑tuning, deployment, monitoring)
- AI product development
- model training pipelines
Nice-to-Have Signals
- Exposure to speech technologies (ASR, TTS) or evaluation pipelines
- Experience with quality metrics (WER, CER, MOS, latency)
- Hands‑on familiarity with SQL, Python, or ML toolkits
- speech technologies (ASR, TTS)
- quality metric evaluation
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
- Education requirement
- Certifications
What You'll Likely Work On
- Define and drive roadmaps for ASR, TTS, and evaluation systems
- Partner with research and engineering on data collection, training cycles, and model release planning
- Set up evaluation frameworks and quality metrics covering accuracy, latency, MOS and robustness
- Run structured experiments—including offline tests, A/B tests and human evaluations—to quantify model improvements
- Collaborate with infra and data teams to ensure scalable deployment and monitoring of models
- Translate user and business needs into measurable model goals
- Communicate priorities, timelines and trade‑offs clearly to stakeholders
Good Fit If You Have
- Enjoys turning research outputs into product features
- Thrives in a fast‑moving, high‑ownership environment
- Comfortable communicating technical trade‑offs to diverse audiences
Skills
- AI/ML product development
- Model lifecycle management
- Speech technologies (ASR, TTS)
- Evaluation metrics (WER, CER, MOS, latency)
- Data‑driven decision making
- SQL
- Python
- Experiment design (A/B testing, offline tests, human eval)
- Cross‑functional collaboration